Edge compute planning
We design compute and connectivity architecture for scenarios where field data must be processed locally.
Data center & edge
We connect central systems and edge operations in one architecture
We design workloads from data centers, edge compute, cameras, sensors, production lines and field systems with a focus on low latency, security and manageability.
Challenge
Field data loses value when it is not moved into systems correctly
Latency and bandwidth issues appear when camera, sensor and production data are moved centrally without control.
Maintenance and security weaken when edge devices are not connected to a standard management model.
Data center capacity becomes a bottleneck when growth and AI workloads are not planned.
Approach
We treat where data is processed as an architectural decision
We define the right operating split between central data center and edge locations. Latency, security, bandwidth, backup and integration needs are evaluated together.
Capabilities
Data center & edge scope
Data center capacity
We plan server, storage, network and backup components around growth targets.
Field system integration
We securely connect cameras, sensors, production lines and IoT data with central systems.
Use cases
For operations that require low latency and field data
AI vision and manufacturing floors
Processing camera and sensor data at the edge and transferring outcomes to central systems.
Distributed facilities and campuses
Controlled data, monitoring and backup architecture between central and field locations.
Process
Data center and edge architecture process
01
Discovery
Field data, latency and capacity needs are analyzed.
02
Distribution
Which workload runs at the edge or centrally is defined.
03
Architecture
Compute, storage, network and security layers are designed.
04
Deployment
Edge and central components are deployed in a controlled way.
05
Operations
Performance, access and continuity are monitored regularly.
Data center & edge FAQ
Is edge infrastructure required for every AI project?
No. Edge or central processing is selected based on latency, bandwidth, data sensitivity and operational needs.
Can existing camera or sensor systems be used?
If protocol, access and data quality are suitable, existing systems can be included in the new edge and integration architecture.
Let’s connect your field data to manageable infrastructure
We can assess your data center, edge, camera, sensor and AI workloads to define a scalable architecture.